Retrieval of dominant methane (CH4) emission sources, the first high-resolution (1–2 m) dataset of storage tanks of China in 2000–2021

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Earth System Science Data Pub Date : 2024-07-24 DOI:10.5194/essd-16-3369-2024
Fangming Chen, Lei Wang, Yu Wang, Haiying Zhang, Ning Wang, Pengfei Ma, Boxuan Yu
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Abstract

Abstract. Methane (CH4) is a significant greenhouse gas in exacerbating climate change. Approximately 25 % of CH4 is emitted from storage tanks. It is crucial to spatially explore the CH4 emission patterns from storage tanks for efficient strategy proposals to mitigate climate change. However, due to the lack of publicly accessible storage tank locations and distributions, it is difficult to ascertain the CH4 emission spatial pattern over a large-scale area. To address this problem, we generated a storage tank dataset (STD) by implementing a deep learning model with manual refinement based on 4403 high-spatial-resolution images (1–2 m) from the Gaofen-1, Gaofen-2, Gaofen-6, and Ziyuan-3 satellites over city regions in China with officially reported numerous storage tanks in 2021. STD is the first storage tank dataset for over 92 typical city regions in China. The dataset can be accessed at https://doi.org/10.5281/zenodo.10514151 (Chen et al., 2024). It provides a detailed georeferenced inventory of 14 461 storage tanks wherein each storage tank is validated and assigned the construction year (2000–2021) by visual interpretation of the collected high-spatial-resolution images, historical high-spatial-resolution images of Google Earth, and field survey. The inventory comprises storage tanks with various distribution patterns in different city regions. Spatial consistency analysis with the CH4 emission product shows good agreement with storage tank distributions. The intensive construction of storage tanks significantly induces CH4 emissions from 2005 to 2020, underscoring the need for more robust measures to curb CH4 release and aid in climate change mitigation efforts. Our proposed dataset, STD, will foster the accurate estimation of CH4 released from storage tanks for CH4 control and reduction and ensure more efficient treatment strategies are proposed to better understand the impact of storage tanks on the environment, ecology, and human settlements.
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检索主要甲烷(CH4)排放源,2000-2021 年中国首个高分辨率(1-2 米)储罐数据集
摘要甲烷(CH4)是加剧气候变化的重要温室气体。大约 25% 的 CH4 是由储罐排放的。从空间上探索储气罐的 CH4 排放模式对于提出有效的减缓气候变化的战略建议至关重要。然而,由于缺乏可公开获取的储气罐位置和分布,很难确定大范围内的甲烷排放空间模式。为解决这一问题,我们基于高分一号、高分二号、高分六号和致远三号卫星拍摄的 4403 幅高空间分辨率图像(1-2 米),在 2021 年官方报告有大量储气罐的中国城市地区上空,通过实施深度学习模型和人工细化,生成了储气罐数据集(STD)。STD 是首个涵盖中国 92 个典型城市地区的储油罐数据集。该数据集可通过 https://doi.org/10.5281/zenodo.10514151(Chen 等,2024 年)访问。该数据集提供了 14 461 个储气罐的详细地理参考清单,通过对所收集的高空间分辨率图像、谷歌地球的历史高空间分辨率图像以及实地调查的直观解读,对每个储气罐进行了验证并分配了建造年份(2000-2021 年)。该清单包括在不同城市地区有不同分布模式的储气罐。与 CH4 排放产品的空间一致性分析表明,储气罐的分布与储气罐的空间一致性很好。从 2005 年到 2020 年,储气罐的密集建设大大增加了甲烷的排放量,这表明有必要采取更有力的措施来遏制甲烷的排放,帮助减缓气候变化。我们提出的数据集 STD 将有助于准确估算储气罐释放的甲烷,以控制和减少甲烷的排放,并确保提出更有效的处理策略,从而更好地了解储气罐对环境、生态和人类住区的影响。
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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